Learning Responsive Data Visualization

by Christoph Korner
rrp $55.79

Publisher: Packt Publishing

Publication Date: March 28, 2016

ISBN: 9781785884337

Binding: Kobo eBook

Availability: eBook

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Master the art of building responsive visualizations on the Web

About This Book

  • Learn the techniques for building data visualizations that work well for all screen sizes
  • Implement responsive techniques with popular libraries to get to grips with building responsive visualizations that work in the real world
  • Incorporate responsive workflow in your data visualization process to build visualizations that take a mobile-first approach.

Who This Book Is For

Web developers and data science professionals who want to make their visualizations work for smaller screen sizes. Some basic knowledge of JavaScript and Data visualization is expected.

What You Will Learn

  • Get familiar with responsive design for data visualizations
  • Understand the main concepts of D3.js to create interactive visualizations
  • Unleash the power of Bootstrap to create stunning and responsive visualizations for all screen resolutions
  • Implement Touch and Mouse interactions for mobile-first applications
  • Design Transitions and Animations that impress in portrait and landscape
  • Build a Responsive World Map using GeoJSON and D3.js

In Detail

Using D3.js and Responsive Design principles, you will not just be able to implement visualizations that look and feel awesome across all devices and screen resolutions, but you will also boost your productivity and reduce development time by making use of Bootstrap—the most popular framework for developing responsive web applications.

This book teaches the basics of scalable vector graphics (SVG), D3.js, and Bootstrap while focusing on Responsive Design as well as mobile-first visualizations; the reader will start by discovering Bootstrap and how it can be used for creating responsive applications, and then implement a basic bar chart in D3.js. You will learn about loading, parsing, and filtering data in JavaScript and then ...